The Two X's Problem: Why AI-designed brands feel like AI-designed brands
The article discusses the limitations of AI in creating unique and emotionally resonant design systems. While AI can efficiently produce generic designs suitable for MVPs, it often struggles to deliver the nuanced and intentional elements that define a strong brand identity. The author reflects on the importance of subtle design choices that convey a brand's voice and intention, which AI-generated outputs frequently lack.
- ▪AI excels at generating generic artifacts that can expedite the design process for minimum viable products.
- ▪Common design patterns and popular fonts have led to a homogenization of early-stage startup landing pages.
- ▪When tasked with creating unique or emotionally resonant designs, AI often produces results that feel incomplete or lack depth.
2 outlets in our directory ran this story, first to last over 15 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
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Hacker News (AI / LLM) files mainly under ai. We currently carry 2,700 of its stories.
Story provenance
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Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Hacker News (AI / LLM) |
| Canonical URL | https://blog.codeyam.com/p/the-two-xs-problem |
| Publication time | Tue, 19 May 2026 13:24:17 +0000 |
| Retrieval time | 2026-05-19T13:29:57.664Z |
| Last seen | 2026-05-19T13:29:57.664Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | r4sQQeHvqH7k · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
The Two X’s ProblemWhy AI-designed brands feel like AI-designed brandsCodeYam and DaniMay 18, 202621ShareWhen I was studying design, I made an album cover for the band The XX as a design exercise. I picked one of their songs, found a brush-painted font on dafont (those free falopa fonts sites that were all over the internet back then), typed out the title, called it a day.My typography teacher looked at it and told me that he felt fooled. The two X’s were identical. Of course they were. They were the same glyph in a font file.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Hacker News (AI / LLM).
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